CN106875098A - A kind of electrically-charging equipment is to electrokinetic cell security incident pre-alerting ability method for quantitatively evaluating - Google Patents

A kind of electrically-charging equipment is to electrokinetic cell security incident pre-alerting ability method for quantitatively evaluating Download PDF

Info

Publication number
CN106875098A
CN106875098A CN201710038597.2A CN201710038597A CN106875098A CN 106875098 A CN106875098 A CN 106875098A CN 201710038597 A CN201710038597 A CN 201710038597A CN 106875098 A CN106875098 A CN 106875098A
Authority
CN
China
Prior art keywords
security incident
weight
electrokinetic cell
early warning
electrically
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710038597.2A
Other languages
Chinese (zh)
Inventor
尹忠东
杨啸天
王帅
张恺
黄永章
廖斌
刘虹
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
BEIJING KELIYUAN ENERGY TECHNOLOGY Co Ltd
North China Electric Power University
Original Assignee
BEIJING KELIYUAN ENERGY TECHNOLOGY Co Ltd
North China Electric Power University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by BEIJING KELIYUAN ENERGY TECHNOLOGY Co Ltd, North China Electric Power University filed Critical BEIJING KELIYUAN ENERGY TECHNOLOGY Co Ltd
Priority to CN201710038597.2A priority Critical patent/CN106875098A/en
Publication of CN106875098A publication Critical patent/CN106875098A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Educational Administration (AREA)
  • Secondary Cells (AREA)

Abstract

The present invention proposes a kind of electrically-charging equipment to electrokinetic cell security incident pre-alerting ability method for quantitatively evaluating, mainly solves the current electrically-charging equipment that lacks to electrokinetic cell security incident pre-alerting ability quantization method.The method step:1) electrokinetic cell security incident type is determined;2) electrically-charging equipment pre-alerting ability is tested, test data is obtained;3) weight calculation from the aspect of subjective and objective two, three layers of appraisement system row matrix of going forward side by side is built using analytic hierarchy process (AHP) and is calculated subjectivity weight, using test data Objective Weight in Mult-Purpose is calculated through formula, the combining weights of subjectivity and Objective Weight in Mult-Purpose are calculated based on dispersion method, comprehensive weight is finally given;4) it is calculated electrokinetic cell accident early warning overall target using test data and comprehensive weight --- early warning rate.The appraisement system quantifies pre-alerting ability, improves the quality of vendor product, avoids cell safety accident to occur since the capital construction initial stage.

Description

A kind of electrically-charging equipment is to electrokinetic cell security incident pre-alerting ability method for quantitatively evaluating
Technical field
The present invention relates to a kind of pre-alerting ability method for quantitatively evaluating, mainly for electrically-charging equipment to electrokinetic cell security incident Early warning.
Background technology
Power battery charging is mainly made up of safely safely electrically-charging equipment safety and electrokinetic cell, wherein had much grinding Study carefully personnel and focus on electrokinetic cell security fields, it is exactly to improve battery to security incident to improve one of method of electrokinetic cell safety Pre-alerting ability, existing method be by increase BMS (Battery Management System, battery management system) survey The battery status parameter quantity of amount improves battery status parameter measuring method, improves the recognition capability to battery status, enters And improve the pre-alerting ability to battery failures.It is that description improves pre-alerting ability in existing document, specifically improves how many Degree, the clear and definite index of neither one goes to weigh.The present invention proposes a kind of electrokinetic cell security incident pre-alerting ability quantitatively evaluating Method, and provide final evaluation index.
Proposing the purpose of the evaluation method and evaluation index is, to battery management system and its upper strata charging control unit Pre-alerting ability is quantified, and promotes battery management system manufacturer and the concern battery failures early warning of electrically-charging equipment manufacturing enterprise to lead Domain, and the monitoring capacity to battery status is improved in terms of hardware and software two, go to avoid cell safety thing with best endeavors Therefore generation.
The content of the invention
The present invention provides a kind of electrically-charging equipment to electrokinetic cell security incident pre-alerting ability method for quantitatively evaluating, for quantifying Electrokinetic cell security incident pre-alerting ability.
Electrokinetic cell security incident pre-alerting ability evaluation procedure is as follows:
1) electrokinetic cell security incident type is determined, the present invention is with internal short-circuit, external short circuit, high temperature, high voltage, big electricity Stream, overcharge, high humidity, voltage x current ripple is excessive, and voltage x current rate of change is excessive, discharges gas, communication abnormality, error-polarity connection As a example by Deng 15 security incidents, for calculating comprehensive evaluation index, but these are not limited to.
2) test electrically-charging equipment obtains the test number of every kind of security incident to all security incident pre-alerting abilities of electrokinetic cell According to --- early warning rate of the electrically-charging equipment to the every kind of security incident of electrokinetic cell in charging process.
3) weight calculation from the aspect of subjective and objective two, builds three layers of appraisement system and goes forward side by side using analytic hierarchy process (AHP) Row matrix is calculated subjectivity weight, and Objective Weight in Mult-Purpose is calculated through formula using test data, based on dispersion method The combining weights of subjectivity and Objective Weight in Mult-Purpose are calculated, comprehensive weight is finally given.
4) comprehensive evaluation index is drawn using test data and comprehensive weight --- early warning rate.
The step 2) be:
In battery charging process, respectively for all security incidents of electrokinetic cell, it is set in m experiment of regulation Middle n experiment is tested for security incident, and in security incident experiment, electrically-charging equipment is capable of identify that security incident correspondence parameter value surpasses Parameter correspondence threshold value is crossed, and sends early warning signal, referred to as one time early warning success of the test, otherwise referred to as one time early warning experiment is lost Lose;In normal assays, electrically-charging equipment is capable of identify that security incident correspondence parameter value, no more than parameter correspondence threshold value, is not sent out Go out early warning signal, referred to as one time normal assays success, otherwise referred to as one time normal assays failure;Early warning tests number of times successfully with peace The ratio of full accident test number (TN), referred to as the security incident early warning success rate, are designated as PSi;Normal the failure of an experiment number of times and normal reality The ratio of number of times is tested, referred to as the normal assays miss early warning rate, are designated as PFi;The security incident early warning rate calculation expression is shown in formula (1).
In formula (1), PiIt is the security incident early warning rate;PSiIt is the security incident early warning success rate;PFiIt is the normal assays Miss early warning rate;N is security incident test number (TN);M is the experiment total degree of regulation.
Wherein, the threshold value determination method is divided to from the aspect of two, one is average with maximum using rated value Value, the second is being modified within the specific limits by battery manufacturer on the basis of average value.In practical operation, average value is not Must be optimal early warning value, be various with battery information Parameters variation cell performance curve, it is therefore desirable to battery manufacturer Intervention, small range modification is carried out according to battery real measured data to threshold value.
The step 3) be:
(1) subjectivity weight is calculated based on analytic hierarchy process (AHP)
Set up three layers of appraisement system:Destination layer is evaluated for electrokinetic cell security incident pre-alerting ability;Rule layer is power electric Pond security incident type, comprising internal short-circuit, external short circuit, high temperature, high voltage, high current, overcharge, high humidity, voltage x current Ripple is excessive, and voltage x current rate of change is excessive, discharges gas, communication abnormality, error-polarity connection etc. 15, and factor layer is electrokinetic cell Parameter, comprising voltage, electric current, SOC, temperature, internal resistance, communication, humidity, gas etc. 8.Using 1~9 scale, with reference to other The scale value of combustible, gives a mark by expert system, constructs judgment matrix.The characteristic value of the judgment matrix is solved, is utilized Its eigenvalue of maximum carries out consistency desired result, is calculated consistency ration CR, if CR<0.1, just meet analytic hierarchy process (AHP) pair The requirement of judgment matrix.Analytic hierarchy process (AHP) weight vector computation method mainly has geometric average method, arithmetic mean method, feature vector method With 4 kinds of least square method, calculated by one of which method, then be normalized, obtain subjectivity weight vectors.
(2) Objective Weight in Mult-Purpose is calculated based on test data
Objective Weight in Mult-Purpose computing formula for i-th electrokinetic cell security incident is:
In formula (2), PiIt is i-th security incident type test data, viIt is the i-th objectivity power of security incident type Weight, n is security incident number of types.Weight v is mainly used in embodying data less than normal in test data, highlights pre-alerting ability Weakness, similar to the short -board effect of Law of Barrel.
(3) comprehensive weight is calculated based on dispersion method
Using standard deviation calculate weight formula be
In formula (3), i is 1 or 2, mainly for distinguishing two weight vectors, σ1It is the standard of subjectivity weight vectors u Difference, σ2It is the standard deviation of Objective Weight in Mult-Purpose vector v.Comprehensive weight computing formula is
W=w1·u+w2·v (4)
In formula (4), w is comprehensive weight vector, and u is the subjectivity weight vectors based on analytic hierarchy process (AHP), and v is based on experiment The Objective Weight in Mult-Purpose vector of data, w1It is proportions of the u in comprehensive weight w, w2It is proportions of the v in comprehensive weight w.
The step 4) be:
The all security incident early warning rates of electrokinetic cell and the respective weights sum of products, referred to as electrically-charging equipment pair in charging process The early warning rate of electrokinetic cell security incident in charging process, expression formula is shown in formula (5).
In formula (5), P is electrokinetic cell security incident early warning rate;PiIt is i-th security incident early warning rate;wiIt is i-th peace The corresponding weight of full accident.
The proposition of evaluation method and overall target in the present invention, is pre- to electrokinetic cell security incident to quantify electrically-charging equipment Alert ability, what should be reached from qualitative judgement to rational judgment, clearer and more definite electrically-charging equipment and battery management system production firm is pre- Alert ability level, effort goes to avoid cell safety accident from occurring in terms of electrically-charging equipment construction.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this A kind of embodiment of invention, for those skilled in the art, without having to pay creative labor, can be with root Other accompanying drawings are obtained according to accompanying drawing.
Accompanying drawing 1 is the three layers of schematic diagram of appraisement system set up based on analytic hierarchy process (AHP).
Shown in components listed is listed as follows in accompanying drawing:
A:Destination layer
A1:Electrokinetic cell security incident pre-alerting ability is evaluated
B:Rule layer
B01:External short circuit B02:Internal short-circuit
B03:High temperature B04:Low temperature
B05:High voltage B06:Low-voltage
B07:High current B08:Overcharge
B09:High humidity B10:Voltage ripple is excessive
B11:The excessive B12 of current ripples:Voltage x current rate of change is excessive
B13:Release gas B14:Communication abnormality
B15:Error-polarity connection
C:Factor layer
C1:Voltage C2:Electric current
C3:SOC C4:Temperature
C5:Internal resistance C6:Communication
C7:Humidity C8:Temperature
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made Embodiment, belongs to the scope of protection of the invention.
Electrokinetic cell security incident pre-alerting ability evaluation procedure is as follows:
1) electrokinetic cell security incident type is determined, the present invention is with internal short-circuit, external short circuit, high temperature, high voltage, big electricity Stream, overcharge, high humidity, voltage x current ripple is excessive, and voltage x current rate of change is excessive, discharges gas, communication abnormality, error-polarity connection As a example by Deng 15 security incidents, for calculating comprehensive evaluation index, but these are not limited to.
2) test electrically-charging equipment obtains the test number of every kind of security incident to all security incident pre-alerting abilities of electrokinetic cell According to --- early warning rate of the electrically-charging equipment to the every kind of security incident of electrokinetic cell in charging process.
3) weight calculation from the aspect of subjective and objective two, builds three layers of appraisement system and goes forward side by side using analytic hierarchy process (AHP) Row matrix is calculated subjectivity weight, and Objective Weight in Mult-Purpose is calculated through formula using test data, based on dispersion method The combining weights of subjectivity and Objective Weight in Mult-Purpose are calculated, comprehensive weight is finally given.
4) comprehensive evaluation index is drawn using test data and comprehensive weight --- early warning rate.
The step 2) be:
In battery charging process, respectively for all security incidents of electrokinetic cell, it is set in m experiment of regulation Middle n experiment is tested for security incident, and in security incident experiment, electrically-charging equipment is capable of identify that security incident correspondence parameter value surpasses Parameter correspondence threshold value is crossed, and sends early warning signal, referred to as one time early warning success of the test, otherwise referred to as one time early warning experiment is lost Lose;In normal assays, electrically-charging equipment is capable of identify that security incident correspondence parameter value, no more than parameter correspondence threshold value, is not sent out Go out early warning signal, referred to as one time normal assays success, otherwise referred to as one time normal assays failure;Early warning tests number of times successfully with peace The ratio of full accident test number (TN), referred to as the security incident early warning success rate, are designated as PSi;Normal the failure of an experiment number of times and normal reality The ratio of number of times is tested, referred to as the normal assays miss early warning rate, are designated as PFi;The security incident early warning rate calculation expression is shown in formula (1).
In formula (1), PiIt is the security incident early warning rate;PSiIt is the security incident early warning success rate;PFiIt is the normal assays Miss early warning rate;N is security incident test number (TN);M is the experiment total degree of regulation.
Wherein, the threshold value determination method is divided to from the aspect of two, one is average with maximum using rated value Value, the second is being modified within the specific limits by battery manufacturer on the basis of average value.In practical operation, average value is not Must be optimal early warning value, be various with battery information Parameters variation cell performance curve, it is therefore desirable to battery manufacturer Intervention, small range modification is carried out according to battery real measured data to threshold value.
The step 3) be:
(1) subjectivity weight is calculated based on analytic hierarchy process (AHP)
Set up three layers of appraisement system:Destination layer is evaluated for electrokinetic cell security incident pre-alerting ability;Rule layer is power electric Pond security incident type, comprising internal short-circuit, external short circuit, high temperature, high voltage, high current, overcharge, high humidity, voltage x current Ripple is excessive, and voltage x current rate of change is excessive, discharges gas, communication abnormality, error-polarity connection etc. 15, and factor layer is electrokinetic cell Parameter, comprising voltage, electric current, SOC, temperature, internal resistance, communication, humidity, gas etc. 8, see accompanying drawing 1.Using 1~9 scale, With reference to the scale value of other combustibles, given a mark by expert system, construct judgment matrix.Solve the feature of the judgment matrix Value, consistency desired result is carried out using its eigenvalue of maximum, consistency ration CR is calculated, if CR<0.1, just meet level Requirement of the analytic approach to judgment matrix.Analytic hierarchy process (AHP) weight vector computation method mainly has geometric average method, arithmetic mean method, spy 4 kinds of vector method and least square method are levied, is calculated by one of which method, then be normalized, obtain subjectivity weight Vector.
(2) Objective Weight in Mult-Purpose is calculated based on test data
Objective Weight in Mult-Purpose computing formula for i-th electrokinetic cell security incident is:
In formula (2), PiIt is i-th security incident type test data, viIt is the i-th objectivity power of security incident type Weight, n is security incident number of types.Weight v is mainly used in embodying data less than normal in test data, highlights pre-alerting ability Weakness, similar to the short -board effect of Law of Barrel.
(3) comprehensive weight is calculated based on dispersion method
Using standard deviation calculate weight formula be
In formula (3), i is 1 or 2, mainly for distinguishing two weight vectors, σ1It is the standard of subjectivity weight vectors u Difference, σ2It is the standard deviation of Objective Weight in Mult-Purpose vector v.Comprehensive weight computing formula is
W=w1·u+w2·v (4)
In formula (4), w is comprehensive weight vector, and u is the subjectivity weight vectors based on analytic hierarchy process (AHP), and v is based on experiment The Objective Weight in Mult-Purpose vector of data, w1It is proportions of the u in comprehensive weight w, w2It is proportions of the v in comprehensive weight w.
The step 4) be:
The all security incident early warning rates of electrokinetic cell and the respective weights sum of products, referred to as electrically-charging equipment pair in charging process The early warning rate of electrokinetic cell security incident in charging process, expression formula is shown in formula (5).
In formula (5), P is electrokinetic cell security incident early warning rate;PiIt is i-th security incident early warning rate;wiIt is i-th peace The corresponding weight of full accident.
The proposition of evaluation method and overall target in the present invention, is pre- to electrokinetic cell security incident to quantify electrically-charging equipment Alert ability, what should be reached from qualitative judgement to rational judgment, clearer and more definite electrically-charging equipment and battery management system production firm is pre- Alert ability level, effort goes to avoid cell safety accident from occurring in terms of electrically-charging equipment construction.

Claims (4)

1. a kind of electrically-charging equipment is to electrokinetic cell security incident pre-alerting ability method for quantitatively evaluating, it is characterised in that its step is such as Under:
1) determine electrokinetic cell security incident type, the present invention with internal short-circuit, external short circuit, high temperature, high voltage, high current, Overcharge, high humidity, voltage x current ripple is excessive, and voltage x current rate of change is excessive, discharges gas, communication abnormality, error-polarity connection etc. As a example by 15 security incidents, for calculating comprehensive evaluation index, but these are not limited to.
2) test electrically-charging equipment obtains the test number of every kind of security incident to all security incident pre-alerting abilities of electrokinetic cell According to --- early warning rate of the electrically-charging equipment to the every kind of security incident of electrokinetic cell in charging process.
3) weight calculation from the aspect of subjective and objective two, builds three layers of appraisement system and carries out square using analytic hierarchy process (AHP) Battle array is calculated subjectivity weight, and Objective Weight in Mult-Purpose is calculated through formula using test data, is calculated based on dispersion method The combining weights of subjectivity and Objective Weight in Mult-Purpose, finally give comprehensive weight.
4) comprehensive evaluation index is drawn using test data and comprehensive weight --- early warning rate.
2. a kind of electrically-charging equipment according to claim 1 is to electrokinetic cell security incident pre-alerting ability method for quantitatively evaluating, It is characterized in that described step 2) be:
In battery charging process, respectively for all security incidents of electrokinetic cell, wherein n is set in m experiment of regulation Secondary experiment is tested for security incident, and in security incident experiment, electrically-charging equipment is capable of identify that security incident correspondence parameter value exceedes Parameter correspondence threshold value, and early warning signal is sent, referred to as one time early warning success of the test, otherwise referred to as one time early warning test failure; In normal assays, electrically-charging equipment is capable of identify that security incident correspondence parameter value, no more than parameter correspondence threshold value, does not send Early warning signal, referred to as one time normal assays success, otherwise referred to as one time normal assays failure;Early warning tests number of times and safety successfully The ratio of accident test number (TN), referred to as the security incident early warning success rate, are designated as PSi;Normal the failure of an experiment number of times and normal experiment The ratio of number of times, the referred to as normal assays miss early warning rate, are designated as PFi;The security incident early warning rate calculation expression is shown in formula (1).
P i = P S i &CenterDot; n m + ( 1 - P F i ) &CenterDot; m - n m - - - ( 1 )
In formula (1), PiIt is the security incident early warning rate;PSiIt is the security incident early warning success rate;PFiFor the normal assays are by mistake pre- Alert rate;N is security incident test number (TN);M is the experiment total degree of regulation.
Wherein, the threshold value determination method is divided to from the aspect of two, one is using rated value and the average value of maximum, its Two are modified within the specific limits by battery manufacturer on the basis of average value.In practical operation, average value is not necessarily It is optimal early warning value, is various with battery information Parameters variation cell performance curve, it is therefore desirable to which battery manufacturer intervenes, Small range modification is carried out to threshold value according to battery real measured data.
3. a kind of electrically-charging equipment according to claim 1 is to electrokinetic cell security incident pre-alerting ability method for quantitatively evaluating, It is characterized in that described step 3) be:
(1) subjectivity weight is calculated based on analytic hierarchy process (AHP)
Set up three layers of appraisement system:Destination layer is evaluated for electrokinetic cell security incident pre-alerting ability;Rule layer is pacified for electrokinetic cell Full accident pattern, comprising internal short-circuit, external short circuit, high temperature, high voltage, high current, overcharge, high humidity, voltage x current ripple Excessive, voltage x current rate of change is excessive, discharges gas, communication abnormality, error-polarity connection etc. 15, and factor layer is the ginseng of electrokinetic cell Number, comprising voltage, electric current, SOC, temperature, internal resistance, communication, humidity, gas etc. 8.It is flammable with reference to other using 1~9 scale The scale value of thing, gives a mark by expert system, constructs judgment matrix.The characteristic value of the judgment matrix is solved, using it most Big characteristic value carries out consistency desired result, consistency ration CR is calculated, if CR<0.1, analytic hierarchy process (AHP) is just met to judging The requirement of matrix.Analytic hierarchy process (AHP) weight vector computation method mainly has geometric average method, arithmetic mean method, feature vector method and most 4 kinds of small square law, is calculated by one of which method, then is normalized, and obtains subjectivity weight vectors.
(2) Objective Weight in Mult-Purpose is calculated based on test data
Test data herein refers to pre-alerting ability index of the electrically-charging equipment to certain electrokinetic cell security incident, limits Between 0~1.Objective Weight in Mult-Purpose computing formula for i-th electrokinetic cell security incident is:
v i = 1 - P i &Sigma; i = 1 n ( 1 - P i ) - - - ( 1 )
In formula (1), PiIt is i-th security incident type test data, hereinafter referred to as certain security incident early warning rate, viIt is The i Objective Weight in Mult-Purpose of security incident type, n is security incident number of types.Weight v be mainly used in embody test data in partially Small data, highlight the weakness of pre-alerting ability, similar to the short -board effect of Law of Barrel.
(3) comprehensive weight is calculated based on dispersion method
Using standard deviation calculate weight formula be
w i = &sigma; i &sigma; 1 + &sigma; 2 - - - ( 2 )
In formula (2), i is 1 or 2, mainly for distinguishing two weight vectors, σ1It is the standard deviation of subjectivity weight vectors u, σ2 It is the standard deviation of Objective Weight in Mult-Purpose vector v.Comprehensive weight computing formula is
W=w1·u+w2·v (3)
In formula (3), w is comprehensive weight vector, and u is the subjectivity weight vectors based on analytic hierarchy process (AHP), and v is based on test data Objective Weight in Mult-Purpose vector, w1It is proportions of the u in comprehensive weight w, w2It is proportions of the v in comprehensive weight w.
4. a kind of electrically-charging equipment according to claim 1 is to electrokinetic cell security incident pre-alerting ability method for quantitatively evaluating, It is characterized in that described step 4) be:
The all security incident early warning rates of electrokinetic cell and the respective weights sum of products in charging process, referred to as electrically-charging equipment is to charging During electrokinetic cell security incident early warning rate, expression formula is shown in formula (5).
P = &Sigma; i = 1 n P i &CenterDot; w i - - - ( 5 )
In formula (5), P is electrokinetic cell security incident early warning rate;PiIt is i-th security incident early warning rate;wiIt is i-th safe thing Therefore corresponding weight.
CN201710038597.2A 2017-01-19 2017-01-19 A kind of electrically-charging equipment is to electrokinetic cell security incident pre-alerting ability method for quantitatively evaluating Pending CN106875098A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710038597.2A CN106875098A (en) 2017-01-19 2017-01-19 A kind of electrically-charging equipment is to electrokinetic cell security incident pre-alerting ability method for quantitatively evaluating

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710038597.2A CN106875098A (en) 2017-01-19 2017-01-19 A kind of electrically-charging equipment is to electrokinetic cell security incident pre-alerting ability method for quantitatively evaluating

Publications (1)

Publication Number Publication Date
CN106875098A true CN106875098A (en) 2017-06-20

Family

ID=59158599

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710038597.2A Pending CN106875098A (en) 2017-01-19 2017-01-19 A kind of electrically-charging equipment is to electrokinetic cell security incident pre-alerting ability method for quantitatively evaluating

Country Status (1)

Country Link
CN (1) CN106875098A (en)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107576916A (en) * 2017-09-21 2018-01-12 中国检验检疫科学研究院 A kind of method of testing of the recycling mode of retired electrokinetic cell
CN109254228A (en) * 2018-08-07 2019-01-22 中国电力科学研究院有限公司 Converter power transformer insulating material properties evaluation method
CN109425836A (en) * 2017-08-17 2019-03-05 三星电子株式会社 Method and apparatus for estimating the state of battery
CN109472516A (en) * 2018-11-27 2019-03-15 广州中国科学院工业技术研究院 Electrokinetic cell system fire risk detection method, device and computer equipment
CN111914208A (en) * 2020-07-07 2020-11-10 集美大学 Detection system and method based on relative quality index early warning
CN111929576A (en) * 2020-09-27 2020-11-13 通号(长沙)轨道交通控制技术有限公司 Vacuum circuit breaker health state assessment method based on combined empowerment method
CN111983469A (en) * 2020-08-24 2020-11-24 哈尔滨理工大学 Lithium battery safety degree estimation method and device based on voltage safety boundary and temperature safety boundary
CN112836174A (en) * 2020-12-31 2021-05-25 深圳市加码能源科技有限公司 AHP-based real-time charging safety evaluation method and storage medium
CN115902646A (en) * 2023-01-06 2023-04-04 中国电力科学研究院有限公司 Energy storage battery fault identification method and system
WO2023115988A1 (en) * 2021-12-22 2023-06-29 北京国家新能源汽车技术创新中心有限公司 Method for detecting internal short-circuit of traction battery

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109425836B (en) * 2017-08-17 2022-12-13 三星电子株式会社 Method and apparatus for estimating state of battery
CN109425836A (en) * 2017-08-17 2019-03-05 三星电子株式会社 Method and apparatus for estimating the state of battery
CN107576916A (en) * 2017-09-21 2018-01-12 中国检验检疫科学研究院 A kind of method of testing of the recycling mode of retired electrokinetic cell
CN109254228A (en) * 2018-08-07 2019-01-22 中国电力科学研究院有限公司 Converter power transformer insulating material properties evaluation method
CN109472516A (en) * 2018-11-27 2019-03-15 广州中国科学院工业技术研究院 Electrokinetic cell system fire risk detection method, device and computer equipment
CN111914208B (en) * 2020-07-07 2022-07-12 集美大学 Detection system and method based on relative quality index early warning
CN111914208A (en) * 2020-07-07 2020-11-10 集美大学 Detection system and method based on relative quality index early warning
CN111983469A (en) * 2020-08-24 2020-11-24 哈尔滨理工大学 Lithium battery safety degree estimation method and device based on voltage safety boundary and temperature safety boundary
CN111983469B (en) * 2020-08-24 2023-08-22 哈尔滨理工大学 Lithium battery safety degree estimation method and device based on voltage safety boundary and temperature safety boundary
CN111929576A (en) * 2020-09-27 2020-11-13 通号(长沙)轨道交通控制技术有限公司 Vacuum circuit breaker health state assessment method based on combined empowerment method
CN112836174A (en) * 2020-12-31 2021-05-25 深圳市加码能源科技有限公司 AHP-based real-time charging safety evaluation method and storage medium
WO2023115988A1 (en) * 2021-12-22 2023-06-29 北京国家新能源汽车技术创新中心有限公司 Method for detecting internal short-circuit of traction battery
CN115902646A (en) * 2023-01-06 2023-04-04 中国电力科学研究院有限公司 Energy storage battery fault identification method and system
CN115902646B (en) * 2023-01-06 2023-06-13 中国电力科学研究院有限公司 Energy storage battery fault identification method and system

Similar Documents

Publication Publication Date Title
CN106875098A (en) A kind of electrically-charging equipment is to electrokinetic cell security incident pre-alerting ability method for quantitatively evaluating
CN106529696B (en) Early warning method and early warning device for equipment in power grid
CN107153162B (en) A kind of power battery pack multiple faults online test method
CN111537939B (en) Voltage transformer state evaluation method and device based on multi-index fusion
CN105866689A (en) Method and apparatus for evaluating operation state of battery pack string
CN108053148B (en) Efficient fault diagnosis method for power information system
CN103439593B (en) Distributed power grid methods of risk assessment based on electric loop fault characteristic
CN107633354A (en) A kind of integrated evaluating method stood with straight-flow system running status health degree
CN104345275B (en) A kind of method of dynamic evaluation battery consistency
CN110376530A (en) Battery internal short-circuit detection device and method
CN103942738A (en) Comprehensive evaluation method and system for electric energy meter
CN110322135A (en) A kind of method for real-time monitoring and system of grid equipment safe operation state
CN110287543B (en) Method for predicting service life of relay protection device
CN112632850A (en) Method and system for detecting abnormal battery in lithium battery pack
CN104813183B (en) The Transient detection of abnormal charge event in the cell device being connected in series
CN110580577A (en) Intelligent substation secondary system operation quality multi-layer evaluation method based on weight coefficient correction
CN116973782B (en) New energy automobile maintenance and fault monitoring and diagnosing method based on machine learning
CN109409658A (en) A kind of power distribution network operation risk cognitive method and device
CN109813987A (en) A kind of transformer DC magnetic bias state evaluating method based on BP neural network
CN115951230B (en) Abnormality detection method and system for lithium battery energy storage box
CN110363404A (en) A kind of dry-type air-core reactor status data analysis method
CN111612326A (en) Comprehensive evaluation method for power supply reliability of distribution transformer
CN107239896A (en) A kind of security of relay protection appraisal procedure
CN102751725A (en) Overload risk state identifying method for power distribution network
CN116739399A (en) High-voltage cable running state evaluation method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20170620